Zobrazeno 1 - 10
of 1 321
pro vyhledávání: '"Yue, Yong"'
Object selection is essential in virtual reality (VR) head-mounted displays (HMDs). Prior work mainly focuses on enhancing and evaluating techniques for selecting a single object in VR, leaving a gap in the techniques for multi-object selection, a mo
Externí odkaz:
http://arxiv.org/abs/2409.00982
Autor:
Li, Zhuoxiao, Yao, Shanliang, Chu, Yijie, Garcia-Fernandez, Angel F., Yue, Yong, Lim, Eng Gee, Zhu, Xiaohui
In the rapidly evolving field of 3D reconstruction, 3D Gaussian Splatting (3DGS) and 2D Gaussian Splatting (2DGS) represent significant advancements. Although 2DGS compresses 3D Gaussian primitives into 2D Gaussian surfels to effectively enhance mesh
Externí odkaz:
http://arxiv.org/abs/2407.11840
Autor:
Guan, Runwei, Zhao, Haocheng, Yao, Shanliang, Man, Ka Lok, Zhu, Xiaohui, Yu, Limin, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety. It is worth noting that c
Externí odkaz:
http://arxiv.org/abs/2312.08851
Autor:
Yao, Shanliang, Guan, Runwei, Peng, Zitian, Xu, Chenhang, Shi, Yilu, Ding, Weiping, Lim, Eng Gee, Yue, Yong, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
With the rapid advancements of sensor technology and deep learning, autonomous driving systems are providing safe and efficient access to intelligent vehicles as well as intelligent transportation. Among these equipped sensors, the radar sensor plays
Externí odkaz:
http://arxiv.org/abs/2312.04861
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Yue, Yutao
Panoptic Driving Perception (PDP) is critical for the autonomous navigation of Unmanned Surface Vehicles (USVs). A PDP model typically integrates multiple tasks, necessitating the simultaneous and robust execution of various perception tasks to facil
Externí odkaz:
http://arxiv.org/abs/2308.10287
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Lim, Eng Gee, Smith, Jeremy, Yue, Yong, Yue, Yutao
Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing the asynchrony between perception results and USV position, and leadin
Externí odkaz:
http://arxiv.org/abs/2307.07102
Autor:
Yao, Shanliang, Guan, Runwei, Wu, Zhaodong, Ni, Yi, Huang, Zile, Liu, Ryan Wen, Yue, Yong, Ding, Weiping, Lim, Eng Gee, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
Autonomous driving on water surfaces plays an essential role in executing hazardous and time-consuming missions, such as maritime surveillance, survivors rescue, environmental monitoring, hydrography mapping and waste cleaning. This work presents Wat
Externí odkaz:
http://arxiv.org/abs/2307.06505
Autor:
Yao, Shanliang, Guan, Runwei, Huang, Xiaoyu, Li, Zhuoxiao, Sha, Xiangyu, Yue, Yong, Lim, Eng Gee, Seo, Hyungjoon, Man, Ka Lok, Zhu, Xiaohui, Yue, Yutao
Publikováno v:
IEEE Transactions on Intelligent Vehicles 2023
Driven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surrounding environment for safe and efficient navigation. To achieve accurate
Externí odkaz:
http://arxiv.org/abs/2304.10410
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background and aims The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) in hepatocellular carcinoma (HCC) patients is increasing, yet its association with postoperative complications of HCC remains unclear. The aim
Externí odkaz:
https://doaj.org/article/acbcc576fcb345bb839d3fae632367b6
Autor:
Yi‐Long Wu, Ming Zhong, Jun Yin, Wei‐Jie Ou, Yu‐Bin Zhuang, Nan‐Wen Zhang, Su Lin, Yue‐Yong Zhu
Publikováno v:
Animal Models and Experimental Medicine, Vol 7, Iss 1, Pp 71-76 (2024)
Abstract The rodent running‐wheel recording apparatus is a reliable approach for studying circadian rhythm. This study demonstrated how to construct a simple and intelligent running‐wheel recording system. The running wheel was attached to the ca
Externí odkaz:
https://doaj.org/article/194ce5017dbc4143aadcc715377a934e